Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	128367
Missing cells	1123851
Missing cells (%)	30.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	122.5 MiB
Average record size in memory	1000.4 B

Variable types

Categorical	22
Numeric	7

Warnings

`CRASH DATE` has a high cardinality: 430 distinct values	High cardinality
`CRASH TIME` has a high cardinality: 1440 distinct values	High cardinality
`LOCATION` has a high cardinality: 52867 distinct values	High cardinality
`ON STREET NAME` has a high cardinality: 4776 distinct values	High cardinality
`CROSS STREET NAME` has a high cardinality: 5270 distinct values	High cardinality
`OFF STREET NAME` has a high cardinality: 28958 distinct values	High cardinality
`CONTRIBUTING FACTOR VEHICLE 1` has a high cardinality: 55 distinct values	High cardinality
`VEHICLE TYPE CODE 1` has a high cardinality: 414 distinct values	High cardinality
`VEHICLE TYPE CODE 2` has a high cardinality: 427 distinct values	High cardinality
`VEHICLE TYPE CODE 3` has a high cardinality: 77 distinct values	High cardinality
`LATITUDE` is highly correlated with `LONGITUDE`	High correlation
`LONGITUDE` is highly correlated with `LATITUDE`	High correlation
`NUMBER OF PERSONS INJURED` is highly correlated with `NUMBER OF MOTORIST INJURED`	High correlation
`NUMBER OF MOTORIST INJURED` is highly correlated with `NUMBER OF PERSONS INJURED`	High correlation
`NUMBER OF MOTORIST KILLED` is highly correlated with `NUMBER OF PERSONS KILLED`	High correlation
`NUMBER OF PERSONS KILLED` is highly correlated with `NUMBER OF MOTORIST KILLED`	High correlation
`BOROUGH` has 44591 (34.7%) missing values	Missing
`ZIP CODE` has 44600 (34.7%) missing values	Missing
`LATITUDE` has 10096 (7.9%) missing values	Missing
`LONGITUDE` has 10096 (7.9%) missing values	Missing
`LOCATION` has 10096 (7.9%) missing values	Missing
`ON STREET NAME` has 33769 (26.3%) missing values	Missing
`CROSS STREET NAME` has 68115 (53.1%) missing values	Missing
`OFF STREET NAME` has 94598 (73.7%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 2` has 28507 (22.2%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 3` has 116070 (90.4%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 4` has 125009 (97.4%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 5` has 127377 (99.2%) missing values	Missing
`VEHICLE TYPE CODE 2` has 39742 (31.0%) missing values	Missing
`VEHICLE TYPE CODE 3` has 116772 (91.0%) missing values	Missing
`VEHICLE TYPE CODE 4` has 125156 (97.5%) missing values	Missing
`VEHICLE TYPE CODE 5` has 127407 (99.3%) missing values	Missing
`LATITUDE` is highly skewed (γ1 = -26.76189702)	Skewed
`LONGITUDE` is highly skewed (γ1 = 26.84483109)	Skewed
`OFF STREET NAME` is uniformly distributed	Uniform
`COLLISION_ID` has unique values	Unique
`NUMBER OF PERSONS INJURED` has 90759 (70.7%) zeros	Zeros
`NUMBER OF PEDESTRIANS INJURED` has 120992 (94.3%) zeros	Zeros
`NUMBER OF MOTORIST INJURED` has 103780 (80.8%) zeros	Zeros

Reproduction

Analysis started	2021-03-16 03:34:57.922404
Analysis finished	2021-03-16 03:35:53.489375
Duration	55.57 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

CRASH DATE
Categorical

HIGH CARDINALITY

Distinct	430
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	8.2 MiB

01/18/2020	774
03/06/2020	673
02/14/2020	632
02/07/2020	604
02/27/2020	581
Other values (425)	125103

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1283670
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	01/02/2020
2nd row	01/02/2020
3rd row	01/02/2020
4th row	01/02/2020
5th row	01/02/2020

Value	Count	Frequency (%)
01/18/2020	774	0.6%
03/06/2020	673	0.5%
02/14/2020	632	0.5%
02/07/2020	604	0.5%
02/27/2020	581	0.5%
02/10/2020	572	0.4%
01/17/2020	566	0.4%
03/02/2020	562	0.4%
02/03/2020	559	0.4%
01/21/2020	556	0.4%
Other values (420)	122288	95.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
01/18/2020	774	0.6%
03/06/2020	673	0.5%
02/14/2020	632	0.5%
02/07/2020	604	0.5%
02/27/2020	581	0.5%
02/10/2020	572	0.4%
01/17/2020	566	0.4%
03/02/2020	562	0.4%
02/03/2020	559	0.4%
01/21/2020	556	0.4%
Other values (420)	122288	95.3%

Most occurring characters

Value	Count	Frequency (%)
0	403631	31.4%
2	338480	26.4%
/	256734	20.0%
1	130923	10.2%
3	31595	2.5%
8	22285	1.7%
7	21701	1.7%
9	21656	1.7%
6	20649	1.6%
5	18632	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1026936	80.0%
Other Punctuation	256734	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	403631	39.3%
2	338480	33.0%
1	130923	12.7%
3	31595	3.1%
8	22285	2.2%
7	21701	2.1%
9	21656	2.1%
6	20649	2.0%
5	18632	1.8%
4	17384	1.7%

Value	Count	Frequency (%)
/	256734	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1283670	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	403631	31.4%
2	338480	26.4%
/	256734	20.0%
1	130923	10.2%
3	31595	2.5%
8	22285	1.7%
7	21701	1.7%
9	21656	1.7%
6	20649	1.6%
5	18632	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1283670	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	403631	31.4%
2	338480	26.4%
/	256734	20.0%
1	130923	10.2%
3	31595	2.5%
8	22285	1.7%
7	21701	1.7%
9	21656	1.7%
6	20649	1.6%
5	18632	1.5%

CRASH TIME
Categorical

HIGH CARDINALITY

Distinct	1440
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

0:00	2110
15:00	1572
16:00	1521
14:00	1453
17:00	1445
Other values (1435)	120266

Length

Max length	5
Median length	5
Mean length	4.732259849
Min length	4

Characters and Unicode

Total characters	607466
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0:00
2nd row	12:57
3rd row	15:00
4th row	15:10
5th row	17:30

Value	Count	Frequency (%)
0:00	2110	1.6%
15:00	1572	1.2%
16:00	1521	1.2%
14:00	1453	1.1%
17:00	1445	1.1%
13:00	1418	1.1%
18:00	1360	1.1%
12:00	1359	1.1%
10:00	1251	1.0%
9:00	1182	0.9%
Other values (1430)	113696	88.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0:00	2110	1.6%
15:00	1572	1.2%
16:00	1521	1.2%
14:00	1453	1.1%
17:00	1445	1.1%
13:00	1418	1.1%
18:00	1360	1.1%
12:00	1359	1.1%
10:00	1251	1.0%
9:00	1182	0.9%
Other values (1430)	113696	88.6%

Most occurring characters

Value	Count	Frequency (%)
:	128367	21.1%
0	114253	18.8%
1	111181	18.3%
2	53789	8.9%
5	53150	8.7%
3	42929	7.1%
4	34124	5.6%
8	19275	3.2%
7	17325	2.9%
9	16636	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	479099	78.9%
Other Punctuation	128367	21.1%

Most frequent character per category

Value	Count	Frequency (%)
0	114253	23.8%
1	111181	23.2%
2	53789	11.2%
5	53150	11.1%
3	42929	9.0%
4	34124	7.1%
8	19275	4.0%
7	17325	3.6%
9	16636	3.5%
6	16437	3.4%

Value	Count	Frequency (%)
:	128367	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	607466	100.0%

Most frequent character per script

Value	Count	Frequency (%)
:	128367	21.1%
0	114253	18.8%
1	111181	18.3%
2	53789	8.9%
5	53150	8.7%
3	42929	7.1%
4	34124	5.6%
8	19275	3.2%
7	17325	2.9%
9	16636	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	607466	100.0%

Most frequent character per block

Value	Count	Frequency (%)
:	128367	21.1%
0	114253	18.8%
1	111181	18.3%
2	53789	8.9%
5	53150	8.7%
3	42929	7.1%
4	34124	5.6%
8	19275	3.2%
7	17325	2.9%
9	16636	2.7%

BOROUGH
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	44591
Missing (%)	34.7%
Memory size	6.5 MiB

BROOKLYN	29091
QUEENS	23503
BRONX	16186
MANHATTAN	12198
STATEN ISLAND	2798

Length

Max length	13
Median length	8
Mean length	7.171886937
Min length	5

Characters and Unicode

Total characters	600832
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BROOKLYN
2nd row	BRONX
3rd row	MANHATTAN
4th row	BROOKLYN
5th row	BROOKLYN

Value	Count	Frequency (%)
BROOKLYN	29091	22.7%
QUEENS	23503	18.3%
BRONX	16186	12.6%
MANHATTAN	12198	9.5%
STATEN ISLAND	2798	2.2%
(Missing)	44591	34.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
brooklyn	29091	33.6%
queens	23503	27.1%
bronx	16186	18.7%
manhattan	12198	14.1%
island	2798	3.2%
staten	2798	3.2%

Most occurring characters

Value	Count	Frequency (%)
N	98772	16.4%
O	74368	12.4%
E	49804	8.3%
B	45277	7.5%
R	45277	7.5%
A	42190	7.0%
L	31889	5.3%
T	29992	5.0%
S	29099	4.8%
K	29091	4.8%
Other values (9)	125073	20.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	598034	99.5%
Space Separator	2798	0.5%

Most frequent character per category

Value	Count	Frequency (%)
N	98772	16.5%
O	74368	12.4%
E	49804	8.3%
B	45277	7.6%
R	45277	7.6%
A	42190	7.1%
L	31889	5.3%
T	29992	5.0%
S	29099	4.9%
K	29091	4.9%
Other values (8)	122275	20.4%

Value	Count	Frequency (%)
	2798	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	598034	99.5%
Common	2798	0.5%

Most frequent character per script

Value	Count	Frequency (%)
N	98772	16.5%
O	74368	12.4%
E	49804	8.3%
B	45277	7.6%
R	45277	7.6%
A	42190	7.1%
L	31889	5.3%
T	29992	5.0%
S	29099	4.9%
K	29091	4.9%
Other values (8)	122275	20.4%

Value	Count	Frequency (%)
	2798	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	600832	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98772	16.4%
O	74368	12.4%
E	49804	8.3%
B	45277	7.5%
R	45277	7.5%
A	42190	7.0%
L	31889	5.3%
T	29992	5.0%
S	29099	4.8%
K	29091	4.8%
Other values (9)	125073	20.8%

ZIP CODE
Real number (ℝ_≥0)

MISSING

Distinct	204
Distinct (%)	0.2%
Missing	44600
Missing (%)	34.7%
Infinite	0
Infinite (%)	0.0%

Mean	10912.96565
Minimum	10000
Maximum	11697
Zeros	0
Zeros (%)	0.0%
Memory size	1003.0 KiB

Quantile statistics

Minimum	10000
5-th percentile	10016
Q1	10458
median	11210
Q3	11354
95-th percentile	11432
Maximum	11697
Range	1697
Interquartile range (IQR)	896

Descriptive statistics

Standard deviation	513.1528987
Coefficient of variation (CV)	0.04702231409
Kurtosis	-1.21036805
Mean	10912.96565
Median Absolute Deviation (MAD)	202
Skewness	-0.6206983569
Sum	914146394
Variance	263325.8975
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11207	2038	1.6%
11236	1596	1.2%
11212	1518	1.2%
11208	1415	1.1%
11203	1355	1.1%
11385	1317	1.0%
11234	1238	1.0%
11434	1201	0.9%
11226	1171	0.9%
11233	1097	0.9%
Other values (194)	69821	54.4%
(Missing)	44600	34.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10000	19	< 0.1%
10001	488	0.4%
10002	699	0.5%
10003	361	0.3%
10004	65	0.1%
10005	44	< 0.1%
10006	52	< 0.1%
10007	150	0.1%
10009	271	0.2%
10010	302	0.2%

Value	Count	Frequency (%)
11697	11	< 0.1%
11695	1	< 0.1%
11694	132	0.1%
11693	124	0.1%
11692	143	0.1%
11691	613	0.5%
11436	256	0.2%
11435	669	0.5%
11434	1201	0.9%
11433	512	0.4%

LATITUDE
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	38213
Distinct (%)	32.3%
Missing	10096
Missing (%)	7.9%
Infinite	0
Infinite (%)	0.0%

Mean	40.67035821
Minimum	0
Maximum	40.912884
Zeros	163
Zeros (%)	0.1%
Memory size	1003.0 KiB

Quantile statistics

Minimum	0
5-th percentile	40.59918
Q1	40.66645
median	40.71532
Q3	40.791084
95-th percentile	40.86544
Maximum	40.912884
Range	40.912884
Interquartile range (IQR)	0.124634

Descriptive statistics

Standard deviation	1.513132419
Coefficient of variation (CV)	0.03720479695
Kurtosis	716.3483792
Mean	40.67035821
Median Absolute Deviation (MAD)	0.055432
Skewness	-26.76189702
Sum	4810123.935
Variance	2.289569717
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	163	0.1%
40.861862	130	0.1%
40.820305	70	0.1%
40.675735	65	0.1%
40.651863	64	< 0.1%
40.65965	63	< 0.1%
40.69168	62	< 0.1%
40.696033	60	< 0.1%
40.8047	60	< 0.1%
40.83801	58	< 0.1%
Other values (38203)	117476	91.5%
(Missing)	10096	7.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	163	0.1%
40.504116	1	< 0.1%
40.50447	1	< 0.1%
40.504482	1	< 0.1%
40.50465	1	< 0.1%
40.505062	1	< 0.1%
40.50526	1	< 0.1%
40.506187	2	< 0.1%
40.50667	1	< 0.1%
40.506756	2	< 0.1%

Value	Count	Frequency (%)
40.912884	1	< 0.1%
40.912468	1	< 0.1%
40.91222	1	< 0.1%
40.91217	1	< 0.1%
40.912018	1	< 0.1%
40.911667	1	< 0.1%
40.911068	1	< 0.1%
40.9109	1	< 0.1%
40.91076	1	< 0.1%
40.91038	1	< 0.1%

LONGITUDE
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED

Distinct	29126
Distinct (%)	24.6%
Missing	10096
Missing (%)	7.9%
Infinite	0
Infinite (%)	0.0%

Mean	-73.81002768
Minimum	-74.253006
Maximum	0
Zeros	163
Zeros (%)	0.1%
Memory size	1003.0 KiB

Quantile statistics

Minimum	-74.253006
5-th percentile	-74.018845
Q1	-73.95836
median	-73.91696
Q3	-73.86384
95-th percentile	-73.76084
Maximum	0
Range	74.253006
Interquartile range (IQR)	0.09452

Descriptive statistics

Standard deviation	2.743264834
Coefficient of variation (CV)	-0.03716656015
Kurtosis	719.3131649
Mean	-73.81002768
Median Absolute Deviation (MAD)	0.046434
Skewness	26.84483109
Sum	-8729585.784
Variance	7.525501947
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	163	0.1%
-73.91282	134	0.1%
-73.89083	80	0.1%
-73.89063	76	0.1%
-73.86536	73	0.1%
-73.89686	72	0.1%
-73.91243	70	0.1%
-73.98453	66	0.1%
-73.773834	62	< 0.1%
-73.93755	61	< 0.1%
Other values (29116)	117414	91.5%
(Missing)	10096	7.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-74.253006	1	< 0.1%
-74.25076	1	< 0.1%
-74.25047	1	< 0.1%
-74.25015	1	< 0.1%
-74.24976	2	< 0.1%
-74.24949	1	< 0.1%
-74.24941	1	< 0.1%
-74.248886	1	< 0.1%
-74.24857	3	< 0.1%
-74.24828	1	< 0.1%

Value	Count	Frequency (%)
0	163	0.1%
-73.700584	1	< 0.1%
-73.70099	2	< 0.1%
-73.70129	1	< 0.1%
-73.7015	1	< 0.1%
-73.70174	3	< 0.1%
-73.70177	1	< 0.1%
-73.70191	1	< 0.1%
-73.70192	3	< 0.1%
-73.70194	1	< 0.1%

LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct	52867
Distinct (%)	44.7%
Missing	10096
Missing (%)	7.9%
Memory size	9.2 MiB

(0.0, 0.0)	163
(40.861862, -73.91282)	129
(40.820305, -73.89083)	70
(40.675735, -73.89686)	65
(40.65965, -73.773834)	62
Other values (52862)	117782

Length

Max length	23
Median length	22
Mean length	21.71183976
Min length	10

Characters and Unicode

Total characters	2567881
Distinct characters	16
Distinct categories	6 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33635 ?
Unique (%)	28.4%

Sample

1st row	(40.668266, -73.84214)
2nd row	(40.700527, -73.94161)
3rd row	(40.843033, -73.881805)
4th row	(40.75974, -73.97423)
5th row	(40.74955, -74.00654)

Value	Count	Frequency (%)
(0.0, 0.0)	163	0.1%
(40.861862, -73.91282)	129	0.1%
(40.820305, -73.89083)	70	0.1%
(40.675735, -73.89686)	65	0.1%
(40.65965, -73.773834)	62	< 0.1%
(40.696033, -73.98453)	60	< 0.1%
(40.8047, -73.91243)	60	< 0.1%
(40.651863, -73.86536)	59	< 0.1%
(40.83801, -73.87329)	56	< 0.1%
(40.668495, -73.925606)	56	< 0.1%
Other values (52857)	117491	91.5%
(Missing)	10096	7.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	326	0.1%
73.91282	134	0.1%
40.861862	130	0.1%
73.89083	80	< 0.1%
73.89063	76	< 0.1%
73.86536	73	< 0.1%
73.89686	72	< 0.1%
40.820305	70	< 0.1%
73.91243	70	< 0.1%
73.98453	66	< 0.1%
Other values (67328)	235445	99.5%

Most occurring characters

Value	Count	Frequency (%)
7	275948	10.7%
4	244229	9.5%
.	236542	9.2%
3	215022	8.4%
0	204443	8.0%
8	163070	6.4%
6	161196	6.3%
9	155051	6.0%
5	124712	4.9%
(	118271	4.6%
Other values (6)	669397	26.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1740147	67.8%
Other Punctuation	354813	13.8%
Open Punctuation	118271	4.6%
Space Separator	118271	4.6%
Close Punctuation	118271	4.6%
Dash Punctuation	118108	4.6%

Most frequent character per category

Value	Count	Frequency (%)
7	275948	15.9%
4	244229	14.0%
3	215022	12.4%
0	204443	11.7%
8	163070	9.4%
6	161196	9.3%
9	155051	8.9%
5	124712	7.2%
2	99859	5.7%
1	96617	5.6%

Value	Count	Frequency (%)
.	236542	66.7%
,	118271	33.3%

Value	Count	Frequency (%)
(	118271	100.0%

Value	Count	Frequency (%)
	118271	100.0%

Value	Count	Frequency (%)
-	118108	100.0%

Value	Count	Frequency (%)
)	118271	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2567881	100.0%

Most frequent character per script

Value	Count	Frequency (%)
7	275948	10.7%
4	244229	9.5%
.	236542	9.2%
3	215022	8.4%
0	204443	8.0%
8	163070	6.4%
6	161196	6.3%
9	155051	6.0%
5	124712	4.9%
(	118271	4.6%
Other values (6)	669397	26.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2567881	100.0%

Most frequent character per block

Value	Count	Frequency (%)
7	275948	10.7%
4	244229	9.5%
.	236542	9.2%
3	215022	8.4%
0	204443	8.0%
8	163070	6.4%
6	161196	6.3%
9	155051	6.0%
5	124712	4.9%
(	118271	4.6%
Other values (6)	669397	26.1%

ON STREET NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct	4776
Distinct (%)	5.0%
Missing	33769
Missing (%)	26.3%
Memory size	9.1 MiB

BELT PARKWAY	2211
LONG ISLAND EXPRESSWAY	1248
BROOKLYN QUEENS EXPRESSWAY	1204
FDR DRIVE	1202
BROADWAY	1022
Other values (4771)	87711

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	3027136
Distinct characters	70
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1579 ?
Unique (%)	1.7%

Sample

1st row	CROSS ISLAND PARKWAY
2nd row	W 57 & 8th Ave
3rd row	CROSS BAY BOULEVARD
4th row	NORTHERN BOULEVARD
5th row	EAST 53 STREET

Value	Count	Frequency (%)
BELT PARKWAY	2211	1.7%
LONG ISLAND EXPRESSWAY	1248	1.0%
BROOKLYN QUEENS EXPRESSWAY	1204	0.9%
FDR DRIVE	1202	0.9%
BROADWAY	1022	0.8%
MAJOR DEEGAN EXPRESSWAY	1012	0.8%
GRAND CENTRAL PKWY	996	0.8%
CROSS BRONX EXPY	931	0.7%
ATLANTIC AVENUE	910	0.7%
CROSS ISLAND PARKWAY	880	0.7%
Other values (4766)	82982	64.6%
(Missing)	33769	26.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
avenue	33517	15.2%
street	25628	11.6%
east	7620	3.5%
parkway	6644	3.0%
boulevard	6578	3.0%
expressway	6254	2.8%
west	4947	2.2%
road	3570	1.6%
island	2678	1.2%
cross	2303	1.0%
Other values (2586)	120719	54.8%

Most occurring characters

Value	Count	Frequency (%)
	1778461	58.8%
E	208548	6.9%
A	118961	3.9%
R	104027	3.4%
T	94495	3.1%
N	86853	2.9%
S	82954	2.7%
U	55287	1.8%
O	53205	1.8%
V	48789	1.6%
Other values (60)	395556	13.1%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	1778461	58.8%
Uppercase Letter	1180929	39.0%
Decimal Number	60124	2.0%
Lowercase Letter	6613	0.2%
Other Punctuation	338	< 0.1%
Open Punctuation	334	< 0.1%
Close Punctuation	334	< 0.1%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
E	208548	17.7%
A	118961	10.1%
R	104027	8.8%
T	94495	8.0%
N	86853	7.4%
S	82954	7.0%
U	55287	4.7%
O	53205	4.5%
V	48789	4.1%
L	39006	3.3%
Other values (16)	288804	24.5%

Value	Count	Frequency (%)
e	1093	16.5%
a	652	9.9%
t	627	9.5%
r	599	9.1%
n	448	6.8%
s	419	6.3%
o	341	5.2%
v	263	4.0%
u	262	4.0%
l	248	3.8%
Other values (16)	1661	25.1%

Value	Count	Frequency (%)
1	15057	25.0%
2	6683	11.1%
3	6542	10.9%
4	5249	8.7%
5	5088	8.5%
6	4705	7.8%
8	4696	7.8%
7	4272	7.1%
0	3925	6.5%
9	3907	6.5%

Value	Count	Frequency (%)
.	257	76.0%
/	66	19.5%
&	12	3.6%
'	3	0.9%

Value	Count	Frequency (%)
	1778461	100.0%

Value	Count	Frequency (%)
-	3	100.0%

Value	Count	Frequency (%)
(	334	100.0%

Value	Count	Frequency (%)
)	334	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1839594	60.8%
Latin	1187542	39.2%

Most frequent character per script

Value	Count	Frequency (%)
E	208548	17.6%
A	118961	10.0%
R	104027	8.8%
T	94495	8.0%
N	86853	7.3%
S	82954	7.0%
U	55287	4.7%
O	53205	4.5%
V	48789	4.1%
L	39006	3.3%
Other values (42)	295417	24.9%

Value	Count	Frequency (%)
	1778461	96.7%
1	15057	0.8%
2	6683	0.4%
3	6542	0.4%
4	5249	0.3%
5	5088	0.3%
6	4705	0.3%
8	4696	0.3%
7	4272	0.2%
0	3925	0.2%
Other values (8)	4916	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3027136	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	1778461	58.8%
E	208548	6.9%
A	118961	3.9%
R	104027	3.4%
T	94495	3.1%
N	86853	2.9%
S	82954	2.7%
U	55287	1.8%
O	53205	1.8%
V	48789	1.6%
Other values (60)	395556	13.1%

CROSS STREET NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct	5270
Distinct (%)	8.7%
Missing	68115
Missing (%)	53.1%
Memory size	6.1 MiB

3 AVENUE	562
BROADWAY	523
2 AVENUE	387
LINDEN BOULEVARD	346
5 AVENUE	319
Other values (5265)	58115

Length

Max length	32
Median length	13
Mean length	13.18376153
Min length	1

Characters and Unicode

Total characters	794348
Distinct characters	73
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1748 ?
Unique (%)	2.9%

Sample

1st row	W 57
2nd row	SOUTH CONDUIT AVENUE
3rd row	68 STREET
4th row	MADISON AVENUE
5th row	NORTHERN BOULEVARD

Value	Count	Frequency (%)
3 AVENUE	562	0.4%
BROADWAY	523	0.4%
2 AVENUE	387	0.3%
LINDEN BOULEVARD	346	0.3%
5 AVENUE	319	0.2%
PARK AVENUE	311	0.2%
1 AVENUE	290	0.2%
ATLANTIC AVENUE	274	0.2%
BRUCKNER BOULEVARD	268	0.2%
7 AVENUE	245	0.2%
Other values (5260)	56727	44.2%
(Missing)	68115	53.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
avenue	26048	19.5%
street	21239	15.9%
east	5900	4.4%
boulevard	3595	2.7%
road	2682	2.0%
west	2572	1.9%
place	1610	1.2%
parkway	1323	1.0%
expressway	833	0.6%
park	675	0.5%
Other values (2895)	67078	50.2%

Most occurring characters

Value	Count	Frequency (%)
E	137189	17.3%
	73306	9.2%
T	67505	8.5%
A	67113	8.4%
R	54450	6.9%
N	50480	6.4%
S	46479	5.9%
U	36535	4.6%
V	33232	4.2%
O	27783	3.5%
Other values (63)	200276	25.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	663364	83.5%
Space Separator	73306	9.2%
Decimal Number	51042	6.4%
Lowercase Letter	6605	0.8%
Other Punctuation	28	< 0.1%
Control	1	< 0.1%
Other Number	1	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	1232	18.7%
t	652	9.9%
a	633	9.6%
r	532	8.1%
n	480	7.3%
s	403	6.1%
o	303	4.6%
u	298	4.5%
v	293	4.4%
l	249	3.8%
Other values (17)	1530	23.2%

Value	Count	Frequency (%)
E	137189	20.7%
T	67505	10.2%
A	67113	10.1%
R	54450	8.2%
N	50480	7.6%
S	46479	7.0%
U	36535	5.5%
V	33232	5.0%
O	27783	4.2%
L	21398	3.2%
Other values (16)	121200	18.3%

Value	Count	Frequency (%)
1	12085	23.7%
2	5965	11.7%
3	5406	10.6%
4	4635	9.1%
5	4490	8.8%
7	3970	7.8%
6	3878	7.6%
8	3877	7.6%
9	3400	6.7%
0	3336	6.5%

Value	Count	Frequency (%)
/	11	39.3%
.	7	25.0%
&	6	21.4%
,	2	7.1%
¿	1	3.6%
'	1	3.6%

Value	Count	Frequency (%)
	73306	100.0%

Value	Count	Frequency (%)
	1	100.0%

Value	Count	Frequency (%)
½	1	100.0%

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	669969	84.3%
Common	124379	15.7%

Most frequent character per script

Value	Count	Frequency (%)
E	137189	20.5%
T	67505	10.1%
A	67113	10.0%
R	54450	8.1%
N	50480	7.5%
S	46479	6.9%
U	36535	5.5%
V	33232	5.0%
O	27783	4.1%
L	21398	3.2%
Other values (43)	127805	19.1%

Value	Count	Frequency (%)
	73306	58.9%
1	12085	9.7%
2	5965	4.8%
3	5406	4.3%
4	4635	3.7%
5	4490	3.6%
7	3970	3.2%
6	3878	3.1%
8	3877	3.1%
9	3400	2.7%
Other values (10)	3367	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	794345	> 99.9%
None	3	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
E	137189	17.3%
	73306	9.2%
T	67505	8.5%
A	67113	8.4%
R	54450	6.9%
N	50480	6.4%
S	46479	5.9%
U	36535	4.6%
V	33232	4.2%
O	27783	3.5%
Other values (60)	200273	25.2%

Value	Count	Frequency (%)
ï	1	33.3%
¿	1	33.3%
½	1	33.3%

OFF STREET NAME
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	28958
Distinct (%)	85.8%
Missing	94598
Missing (%)	73.7%
Memory size	6.0 MiB

772 EDGEWATER ROAD	35
625 ATLANTIC AVENUE	22
815 HUTCHINSON RIVER PARKWAY	21
501 GATEWAY DRIVE	19
355 FOOD CENTER DRIVE	19
Other values (28953)	33653

Length

Max length	40
Median length	40
Mean length	40
Min length	40

Characters and Unicode

Total characters	1350760
Distinct characters	69
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25915 ?
Unique (%)	76.7%

Sample

1st row	760 BROADWAY
2nd row	948 EAST 179 STREET
3rd row	793 FLATBUSH AVENUE
4th row	1539 PARK PLACE
5th row	1316 UTICA AVENUE

Value	Count	Frequency (%)
772 EDGEWATER ROAD	35	< 0.1%
625 ATLANTIC AVENUE	22	< 0.1%
815 HUTCHINSON RIVER PARKWAY	21	< 0.1%
501 GATEWAY DRIVE	19	< 0.1%
355 FOOD CENTER DRIVE	19	< 0.1%
110-00 ROCKAWAY BOULEVARD	19	< 0.1%
450 FLATBUSH AVENUE	18	< 0.1%
1400 PELHAM PARKWAY SOUTH	16	< 0.1%
63 FLUSHING AVENUE	16	< 0.1%
519 GATEWAY DRIVE	16	< 0.1%
Other values (28948)	33568	26.2%
(Missing)	94598	73.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
avenue	14010	12.8%
street	12639	11.6%
east	3709	3.4%
boulevard	1929	1.8%
west	1877	1.7%
road	1609	1.5%
place	771	0.7%
parkway	754	0.7%
drive	471	0.4%
broadway	421	0.4%
Other values (11343)	71237	65.1%

Most occurring characters

Value	Count	Frequency (%)
	810625	60.0%
E	78430	5.8%
T	41761	3.1%
A	39169	2.9%
R	31506	2.3%
N	28886	2.1%
1	27887	2.1%
S	27882	2.1%
U	20076	1.5%
2	18400	1.4%
Other values (59)	226138	16.7%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	810625	60.0%
Uppercase Letter	385680	28.6%
Decimal Number	144412	10.7%
Dash Punctuation	7696	0.6%
Lowercase Letter	2330	0.2%
Other Punctuation	15	< 0.1%
Control	1	< 0.1%
Connector Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
E	78430	20.3%
T	41761	10.8%
A	39169	10.2%
R	31506	8.2%
N	28886	7.5%
S	27882	7.2%
U	20076	5.2%
V	18006	4.7%
O	16142	4.2%
L	12350	3.2%
Other values (16)	71472	18.5%

Value	Count	Frequency (%)
e	394	16.9%
t	244	10.5%
r	225	9.7%
a	212	9.1%
s	158	6.8%
n	143	6.1%
o	124	5.3%
d	98	4.2%
l	96	4.1%
v	92	3.9%
Other values (16)	544	23.3%

Value	Count	Frequency (%)
1	27887	19.3%
2	18400	12.7%
0	15999	11.1%
3	14607	10.1%
5	14488	10.0%
4	12874	8.9%
6	10928	7.6%
7	10249	7.1%
8	9931	6.9%
9	9049	6.3%

Value	Count	Frequency (%)
/	7	46.7%
.	7	46.7%
!	1	6.7%

Value	Count	Frequency (%)
	810625	100.0%

Value	Count	Frequency (%)
-	7696	100.0%

Value	Count	Frequency (%)
	1	100.0%

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	962750	71.3%
Latin	388010	28.7%

Most frequent character per script

Value	Count	Frequency (%)
E	78430	20.2%
T	41761	10.8%
A	39169	10.1%
R	31506	8.1%
N	28886	7.4%
S	27882	7.2%
U	20076	5.2%
V	18006	4.6%
O	16142	4.2%
L	12350	3.2%
Other values (42)	73802	19.0%

Value	Count	Frequency (%)
	810625	84.2%
1	27887	2.9%
2	18400	1.9%
0	15999	1.7%
3	14607	1.5%
5	14488	1.5%
4	12874	1.3%
6	10928	1.1%
7	10249	1.1%
8	9931	1.0%
Other values (7)	16762	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1350760	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	810625	60.0%
E	78430	5.8%
T	41761	3.1%
A	39169	2.9%
R	31506	2.3%
N	28886	2.1%
1	27887	2.1%
S	27882	2.1%
U	20076	1.5%
2	18400	1.4%
Other values (59)	226138	16.7%

NUMBER OF PERSONS INJURED
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	0.3942554882
Minimum	0
Maximum	16
Zeros	90759
Zeros (%)	70.7%
Memory size	1003.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	16
Range	16
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.749183193
Coefficient of variation (CV)	1.900247975
Kurtosis	16.64754482
Mean	0.3942554882
Median Absolute Deviation (MAD)	0
Skewness	3.029441689
Sum	50609
Variance	0.5612754567
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	90759	70.7%
1	29191	22.7%
2	5576	4.3%
3	1795	1.4%
4	653	0.5%
5	243	0.2%
6	72	0.1%
7	39	< 0.1%
8	18	< 0.1%
9	9	< 0.1%
Other values (4)	11	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	90759	70.7%
1	29191	22.7%
2	5576	4.3%
3	1795	1.4%
4	653	0.5%
5	243	0.2%
6	72	0.1%
7	39	< 0.1%
8	18	< 0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
15	1	< 0.1%
11	3	< 0.1%
10	6	< 0.1%
9	9	< 0.1%
8	18	< 0.1%
7	39	< 0.1%
6	72	0.1%
5	243	0.2%
4	653	0.5%

NUMBER OF PERSONS KILLED
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.1 MiB

0	128085
1	269
2	10
3	2
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	128367
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	128085	99.8%
1	269	0.2%
2	10	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	128085	99.8%
1	269	0.2%
2	10	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	128085	99.8%
1	269	0.2%
2	10	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128367	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	128085	99.8%
1	269	0.2%
2	10	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	128367	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	128085	99.8%
1	269	0.2%
2	10	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128367	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	128085	99.8%
1	269	0.2%
2	10	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

NUMBER OF PEDESTRIANS INJURED
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.05964149665
Minimum	0
Maximum	7
Zeros	120992
Zeros (%)	94.3%
Memory size	1003.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2480685043
Coefficient of variation (CV)	4.159327284
Kurtosis	29.04223204
Mean	0.05964149665
Median Absolute Deviation (MAD)	0
Skewness	4.574181181
Sum	7656
Variance	0.06153798281
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	120992	94.3%
1	7139	5.6%
2	205	0.2%
3	23	< 0.1%
4	5	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	120992	94.3%
1	7139	5.6%
2	205	0.2%
3	23	< 0.1%
4	5	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
4	5	< 0.1%
3	23	< 0.1%
2	205	0.2%
1	7139	5.6%
0	120992	94.3%

NUMBER OF PEDESTRIANS KILLED
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.1 MiB

0	128246
1	120
2	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	128367
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	128246	99.9%
1	120	0.1%
2	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	128246	99.9%
1	120	0.1%
2	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	128246	99.9%
1	120	0.1%
2	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128367	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	128246	99.9%
1	120	0.1%
2	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	128367	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	128246	99.9%
1	120	0.1%
2	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128367	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	128246	99.9%
1	120	0.1%
2	1	< 0.1%

NUMBER OF CYCLIST INJURED
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.1 MiB

0	122475
1	5765
2	125
3	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	128367
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	122475	95.4%
1	5765	4.5%
2	125	0.1%
3	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	122475	95.4%
1	5765	4.5%
2	125	0.1%
3	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	122475	95.4%
1	5765	4.5%
2	125	0.1%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128367	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	122475	95.4%
1	5765	4.5%
2	125	0.1%
3	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	128367	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	122475	95.4%
1	5765	4.5%
2	125	0.1%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128367	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	122475	95.4%
1	5765	4.5%
2	125	0.1%
3	2	< 0.1%

NUMBER OF CYCLIST KILLED
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.1 MiB

0	128337
1	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	128367
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	128337	> 99.9%
1	30	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	128337	> 99.9%
1	30	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	128337	> 99.9%
1	30	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128367	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	128337	> 99.9%
1	30	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	128367	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	128337	> 99.9%
1	30	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128367	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	128337	> 99.9%
1	30	< 0.1%

NUMBER OF MOTORIST INJURED
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2877141321
Minimum	0
Maximum	16
Zeros	103780
Zeros (%)	80.8%
Memory size	1003.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	16
Range	16
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.7168114962
Coefficient of variation (CV)	2.491401764
Kurtosis	21.80086343
Mean	0.2877141321
Median Absolute Deviation (MAD)	0
Skewness	3.709884974
Sum	36933
Variance	0.5138187211
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	103780	80.8%
1	16707	13.0%
2	5111	4.0%
3	1747	1.4%
4	644	0.5%
5	235	0.2%
6	70	0.1%
7	37	< 0.1%
8	16	< 0.1%
9	9	< 0.1%
Other values (4)	11	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	103780	80.8%
1	16707	13.0%
2	5111	4.0%
3	1747	1.4%
4	644	0.5%
5	235	0.2%
6	70	0.1%
7	37	< 0.1%
8	16	< 0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
15	1	< 0.1%
11	3	< 0.1%
10	6	< 0.1%
9	9	< 0.1%
8	16	< 0.1%
7	37	< 0.1%
6	70	0.1%
5	235	0.2%
4	644	0.5%

NUMBER OF MOTORIST KILLED
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.1 MiB

0	128235
1	121
2	8
3	2
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	128367
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	128235	99.9%
1	121	0.1%
2	8	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	128235	99.9%
1	121	0.1%
2	8	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	128235	99.9%
1	121	0.1%
2	8	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128367	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	128235	99.9%
1	121	0.1%
2	8	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	128367	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	128235	99.9%
1	121	0.1%
2	8	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128367	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	128235	99.9%
1	121	0.1%
2	8	< 0.1%
3	2	< 0.1%
4	1	< 0.1%

CONTRIBUTING FACTOR VEHICLE 1
Categorical

HIGH CARDINALITY

Distinct	55
Distinct (%)	< 0.1%
Missing	590
Missing (%)	0.5%
Memory size	9.5 MiB

Unspecified	33811
Driver Inattention/Distraction	32243
Following Too Closely	8514
Failure to Yield Right-of-Way	8092
Passing or Lane Usage Improper	4821
Other values (50)	40296

Length

Max length	53
Median length	20
Mean length	21.02476972
Min length	5

Characters and Unicode

Total characters	2686482
Distinct characters	52
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tire Failure/Inadequate
2nd row	Unspecified
3rd row	Driver Inattention/Distraction
4th row	Pedestrian/Bicyclist/Other Pedestrian Error/Confusion
5th row	Driver Inattention/Distraction

Value	Count	Frequency (%)
Unspecified	33811	26.3%
Driver Inattention/Distraction	32243	25.1%
Following Too Closely	8514	6.6%
Failure to Yield Right-of-Way	8092	6.3%
Passing or Lane Usage Improper	4821	3.8%
Passing Too Closely	4675	3.6%
Backing Unsafely	4577	3.6%
Other Vehicular	3773	2.9%
Unsafe Speed	3759	2.9%
Unsafe Lane Changing	2890	2.3%
Other values (45)	20622	16.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
driver	34488	12.4%
unspecified	33811	12.2%
inattention/distraction	32243	11.6%
too	13189	4.8%
closely	13189	4.8%
to	10246	3.7%
passing	9496	3.4%
failure	8518	3.1%
following	8514	3.1%
yield	8092	2.9%
Other values (93)	105421	38.0%

Most occurring characters

Value	Count	Frequency (%)
i	288170	10.7%
e	264106	9.8%
n	241513	9.0%
t	202968	7.6%
o	172821	6.4%
r	167803	6.2%
	149430	5.6%
a	142479	5.3%
s	129683	4.8%
c	91519	3.4%
Other values (42)	835990	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2174095	80.9%
Uppercase Letter	308224	11.5%
Space Separator	149430	5.6%
Other Punctuation	38069	1.4%
Dash Punctuation	16304	0.6%
Open Punctuation	180	< 0.1%
Close Punctuation	180	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
i	288170	13.3%
e	264106	12.1%
n	241513	11.1%
t	202968	9.3%
o	172821	7.9%
r	167803	7.7%
a	142479	6.6%
s	129683	6.0%
c	91519	4.2%
l	89424	4.1%
Other values (15)	383609	17.6%

Value	Count	Frequency (%)
D	72731	23.6%
U	51883	16.8%
I	44057	14.3%
C	20482	6.6%
T	18707	6.1%
F	17799	5.8%
P	13448	4.4%
R	12321	4.0%
L	9069	2.9%
W	8173	2.7%
Other values (12)	39554	12.8%

Value	Count	Frequency (%)
	149430	100.0%

Value	Count	Frequency (%)
/	38069	100.0%

Value	Count	Frequency (%)
-	16304	100.0%

Value	Count	Frequency (%)
(	180	100.0%

Value	Count	Frequency (%)
)	180	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2482319	92.4%
Common	204163	7.6%

Most frequent character per script

Value	Count	Frequency (%)
i	288170	11.6%
e	264106	10.6%
n	241513	9.7%
t	202968	8.2%
o	172821	7.0%
r	167803	6.8%
a	142479	5.7%
s	129683	5.2%
c	91519	3.7%
l	89424	3.6%
Other values (37)	691833	27.9%

Value	Count	Frequency (%)
	149430	73.2%
/	38069	18.6%
-	16304	8.0%
(	180	0.1%
)	180	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2686482	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	288170	10.7%
e	264106	9.8%
n	241513	9.0%
t	202968	7.6%
o	172821	6.4%
r	167803	6.2%
	149430	5.6%
a	142479	5.3%
s	129683	4.8%
c	91519	3.4%
Other values (42)	835990	31.1%

CONTRIBUTING FACTOR VEHICLE 2
Categorical

MISSING

Distinct	48
Distinct (%)	< 0.1%
Missing	28507
Missing (%)	22.2%
Memory size	7.5 MiB

Unspecified	84696
Driver Inattention/Distraction	5936
Other Vehicular	1552
Following Too Closely	1521
Passing or Lane Usage Improper	853
Other values (43)	5302

Length

Max length	53
Median length	11
Mean length	13.13994592
Min length	5

Characters and Unicode

Total characters	1312155
Distinct characters	52
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Driver Inattention/Distraction
4th row	Unspecified
5th row	Other Vehicular

Value	Count	Frequency (%)
Unspecified	84696	66.0%
Driver Inattention/Distraction	5936	4.6%
Other Vehicular	1552	1.2%
Following Too Closely	1521	1.2%
Passing or Lane Usage Improper	853	0.7%
Failure to Yield Right-of-Way	812	0.6%
Passing Too Closely	601	0.5%
Unsafe Speed	551	0.4%
Traffic Control Disregarded	487	0.4%
Unsafe Lane Changing	446	0.3%
Other values (38)	2405	1.9%
(Missing)	28507	22.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	84696	68.7%
driver	6201	5.0%
inattention/distraction	5936	4.8%
closely	2122	1.7%
too	2122	1.7%
other	1567	1.3%
vehicular	1552	1.3%
following	1521	1.2%
passing	1454	1.2%
lane	1324	1.1%
Other values (81)	14795	12.0%

Most occurring characters

Value	Count	Frequency (%)
i	206639	15.7%
e	201390	15.3%
n	119405	9.1%
s	100187	7.6%
c	94901	7.2%
d	88543	6.7%
p	88330	6.7%
f	88109	6.7%
U	87091	6.6%
t	36316	2.8%
Other values (42)	201244	15.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1150613	87.7%
Uppercase Letter	129295	9.9%
Space Separator	23430	1.8%
Other Punctuation	7131	0.5%
Dash Punctuation	1662	0.1%
Open Punctuation	12	< 0.1%
Close Punctuation	12	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
i	206639	18.0%
e	201390	17.5%
n	119405	10.4%
s	100187	8.7%
c	94901	8.2%
d	88543	7.7%
p	88330	7.7%
f	88109	7.7%
t	36316	3.2%
r	30681	2.7%
Other values (15)	96112	8.4%

Value	Count	Frequency (%)
U	87091	67.4%
D	12957	10.0%
I	7506	5.8%
C	3374	2.6%
T	2921	2.3%
F	2392	1.9%
O	2223	1.7%
P	2198	1.7%
V	2146	1.7%
L	1556	1.2%
Other values (12)	4931	3.8%

Value	Count	Frequency (%)
	23430	100.0%

Value	Count	Frequency (%)
/	7131	100.0%

Value	Count	Frequency (%)
-	1662	100.0%

Value	Count	Frequency (%)
(	12	100.0%

Value	Count	Frequency (%)
)	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1279908	97.5%
Common	32247	2.5%

Most frequent character per script

Value	Count	Frequency (%)
i	206639	16.1%
e	201390	15.7%
n	119405	9.3%
s	100187	7.8%
c	94901	7.4%
d	88543	6.9%
p	88330	6.9%
f	88109	6.9%
U	87091	6.8%
t	36316	2.8%
Other values (37)	168997	13.2%

Value	Count	Frequency (%)
	23430	72.7%
/	7131	22.1%
-	1662	5.2%
(	12	< 0.1%
)	12	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1312155	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	206639	15.7%
e	201390	15.3%
n	119405	9.1%
s	100187	7.6%
c	94901	7.2%
d	88543	6.7%
p	88330	6.7%
f	88109	6.7%
U	87091	6.6%
t	36316	2.8%
Other values (42)	201244	15.3%

CONTRIBUTING FACTOR VEHICLE 3
Categorical

MISSING

Distinct	30
Distinct (%)	0.2%
Missing	116070
Missing (%)	90.4%
Memory size	4.3 MiB

Unspecified	11497
Other Vehicular	247
Following Too Closely	222
Driver Inattention/Distraction	165
Pavement Slippery	26
Other values (25)	140

Length

Max length	53
Median length	11
Mean length	11.66414573
Min length	5

Characters and Unicode

Total characters	143434
Distinct characters	48
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.1%

Sample

1st row	Driver Inattention/Distraction
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Following Too Closely

Value	Count	Frequency (%)
Unspecified	11497	9.0%
Other Vehicular	247	0.2%
Following Too Closely	222	0.2%
Driver Inattention/Distraction	165	0.1%
Pavement Slippery	26	< 0.1%
Reaction to Uninvolved Vehicle	22	< 0.1%
Unsafe Speed	18	< 0.1%
Unsafe Lane Changing	11	< 0.1%
Driver Inexperience	10	< 0.1%
Obstruction/Debris	9	< 0.1%
Other values (20)	70	0.1%
(Missing)	116070	90.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	11497	85.6%
other	248	1.8%
vehicular	247	1.8%
too	231	1.7%
closely	231	1.7%
following	222	1.7%
driver	175	1.3%
inattention/distraction	165	1.2%
unsafe	29	0.2%
to	28	0.2%
Other values (51)	357	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	24508	17.1%
i	24392	17.0%
n	12656	8.8%
s	12031	8.4%
c	12015	8.4%
p	11606	8.1%
d	11579	8.1%
U	11557	8.1%
f	11554	8.1%
o	1640	1.1%
Other values (38)	9896	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	128481	89.6%
Uppercase Letter	13603	9.5%
Space Separator	1133	0.8%
Other Punctuation	201	0.1%
Dash Punctuation	14	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	24508	19.1%
i	24392	19.0%
n	12656	9.9%
s	12031	9.4%
c	12015	9.4%
p	11606	9.0%
d	11579	9.0%
f	11554	9.0%
o	1640	1.3%
l	1286	1.0%
Other values (13)	5214	4.1%

Value	Count	Frequency (%)
U	11557	85.0%
D	371	2.7%
V	278	2.0%
O	268	2.0%
C	256	1.9%
T	243	1.8%
F	229	1.7%
I	197	1.4%
P	50	0.4%
S	45	0.3%
Other values (10)	109	0.8%

Value	Count	Frequency (%)
	1133	100.0%

Value	Count	Frequency (%)
/	201	100.0%

Value	Count	Frequency (%)
-	14	100.0%

Value	Count	Frequency (%)
(	1	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	142084	99.1%
Common	1350	0.9%

Most frequent character per script

Value	Count	Frequency (%)
e	24508	17.2%
i	24392	17.2%
n	12656	8.9%
s	12031	8.5%
c	12015	8.5%
p	11606	8.2%
d	11579	8.1%
U	11557	8.1%
f	11554	8.1%
o	1640	1.2%
Other values (33)	8546	6.0%

Value	Count	Frequency (%)
	1133	83.9%
/	201	14.9%
-	14	1.0%
(	1	0.1%
)	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	143434	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	24508	17.1%
i	24392	17.0%
n	12656	8.8%
s	12031	8.4%
c	12015	8.4%
p	11606	8.1%
d	11579	8.1%
U	11557	8.1%
f	11554	8.1%
o	1640	1.1%
Other values (38)	9896	6.9%

CONTRIBUTING FACTOR VEHICLE 4
Categorical

MISSING

Distinct	16
Distinct (%)	0.5%
Missing	125009
Missing (%)	97.4%
Memory size	4.0 MiB

Unspecified	3169
Other Vehicular	76
Following Too Closely	49
Driver Inattention/Distraction	35
Pavement Slippery	7
Other values (11)	22

Length

Max length	30
Median length	11
Mean length	11.51488982
Min length	11

Characters and Unicode

Total characters	38667
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
Unspecified	3169	2.5%
Other Vehicular	76	0.1%
Following Too Closely	49	< 0.1%
Driver Inattention/Distraction	35	< 0.1%
Pavement Slippery	7	< 0.1%
Reaction to Uninvolved Vehicle	4	< 0.1%
Unsafe Speed	3	< 0.1%
Driver Inexperience	3	< 0.1%
Outside Car Distraction	2	< 0.1%
Obstruction/Debris	2	< 0.1%
Other values (6)	8	< 0.1%
(Missing)	125009	97.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	3169	87.8%
vehicular	76	2.1%
other	76	2.1%
closely	51	1.4%
too	51	1.4%
following	49	1.4%
driver	38	1.1%
inattention/distraction	35	1.0%
slippery	7	0.2%
pavement	7	0.2%
Other values (25)	52	1.4%

Most occurring characters

Value	Count	Frequency (%)
e	6692	17.3%
i	6649	17.2%
n	3400	8.8%
c	3298	8.5%
s	3279	8.5%
p	3191	8.3%
d	3180	8.2%
U	3178	8.2%
f	3174	8.2%
o	344	0.9%
Other values (29)	2282	5.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34730	89.8%
Uppercase Letter	3645	9.4%
Space Separator	253	0.7%
Other Punctuation	39	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	6692	19.3%
i	6649	19.1%
n	3400	9.8%
c	3298	9.5%
s	3279	9.4%
p	3191	9.2%
d	3180	9.2%
f	3174	9.1%
o	344	1.0%
l	295	0.8%
Other values (13)	1228	3.5%

Value	Count	Frequency (%)
U	3178	87.2%
D	80	2.2%
O	80	2.2%
V	80	2.2%
C	53	1.5%
T	51	1.4%
F	49	1.3%
I	40	1.1%
P	10	0.3%
S	10	0.3%
Other values (4)	14	0.4%

Value	Count	Frequency (%)
	253	100.0%

Value	Count	Frequency (%)
/	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38375	99.2%
Common	292	0.8%

Most frequent character per script

Value	Count	Frequency (%)
e	6692	17.4%
i	6649	17.3%
n	3400	8.9%
c	3298	8.6%
s	3279	8.5%
p	3191	8.3%
d	3180	8.3%
U	3178	8.3%
f	3174	8.3%
o	344	0.9%
Other values (27)	1990	5.2%

Value	Count	Frequency (%)
	253	86.6%
/	39	13.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38667	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	6692	17.3%
i	6649	17.2%
n	3400	8.8%
c	3298	8.5%
s	3279	8.5%
p	3191	8.3%
d	3180	8.2%
U	3178	8.2%
f	3174	8.2%
o	344	0.9%
Other values (29)	2282	5.9%

CONTRIBUTING FACTOR VEHICLE 5
Categorical

MISSING

Distinct	10
Distinct (%)	1.0%
Missing	127377
Missing (%)	99.2%
Memory size	4.0 MiB

Unspecified	926
Other Vehicular	29
Following Too Closely	17
Driver Inattention/Distraction	6
Pavement Slippery	5
Other values (5)	7

Length

Max length	30
Median length	11
Mean length	11.48989899
Min length	11

Characters and Unicode

Total characters	11375
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.3%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
Unspecified	926	0.7%
Other Vehicular	29	< 0.1%
Following Too Closely	17	< 0.1%
Driver Inattention/Distraction	6	< 0.1%
Pavement Slippery	5	< 0.1%
Obstruction/Debris	2	< 0.1%
Outside Car Distraction	2	< 0.1%
Passing Too Closely	1	< 0.1%
Driver Inexperience	1	< 0.1%
Unsafe Speed	1	< 0.1%
(Missing)	127377	99.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	926	86.4%
vehicular	29	2.7%
other	29	2.7%
closely	18	1.7%
too	18	1.7%
following	17	1.6%
driver	7	0.7%
inattention/distraction	6	0.6%
slippery	5	0.5%
pavement	5	0.5%
Other values (8)	12	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	1967	17.3%
i	1940	17.1%
n	980	8.6%
c	966	8.5%
s	961	8.4%
p	938	8.2%
d	929	8.2%
U	927	8.1%
f	927	8.1%
l	104	0.9%
Other values (24)	736	6.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10205	89.7%
Uppercase Letter	1080	9.5%
Space Separator	82	0.7%
Other Punctuation	8	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	1967	19.3%
i	1940	19.0%
n	980	9.6%
c	966	9.5%
s	961	9.4%
p	938	9.2%
d	929	9.1%
f	927	9.1%
l	104	1.0%
o	104	1.0%
Other values (12)	389	3.8%

Value	Count	Frequency (%)
U	927	85.8%
O	33	3.1%
V	29	2.7%
C	20	1.9%
T	18	1.7%
F	17	1.6%
D	17	1.6%
I	7	0.6%
P	6	0.6%
S	6	0.6%

Value	Count	Frequency (%)
	82	100.0%

Value	Count	Frequency (%)
/	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11285	99.2%
Common	90	0.8%

Most frequent character per script

Value	Count	Frequency (%)
e	1967	17.4%
i	1940	17.2%
n	980	8.7%
c	966	8.6%
s	961	8.5%
p	938	8.3%
d	929	8.2%
U	927	8.2%
f	927	8.2%
l	104	0.9%
Other values (22)	646	5.7%

Value	Count	Frequency (%)
	82	91.1%
/	8	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11375	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	1967	17.3%
i	1940	17.1%
n	980	8.6%
c	966	8.5%
s	961	8.4%
p	938	8.2%
d	929	8.2%
U	927	8.1%
f	927	8.1%
l	104	0.9%
Other values (24)	736	6.5%

COLLISION_ID
Real number (ℝ_≥0)

UNIQUE

Distinct	128367
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4332874.476
Minimum	4063247
Maximum	4397407
Zeros	0
Zeros (%)	0.0%
Memory size	1003.0 KiB

Quantile statistics

Minimum	4063247
5-th percentile	4274921.3
Q1	4300790.5
median	4332905
Q3	4365013.5
95-th percentile	4390704.7
Maximum	4397407
Range	334160
Interquartile range (IQR)	64223

Descriptive statistics

Standard deviation	37134.97788
Coefficient of variation (CV)	0.008570517814
Kurtosis	-1.159355039
Mean	4332874.476
Median Absolute Deviation (MAD)	32112
Skewness	-0.008462197276
Sum	5.561980978 × 10¹¹
Variance	1379006582
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4270043	1	< 0.1%
4322708	1	< 0.1%
4279683	1	< 0.1%
4289924	1	< 0.1%
4291973	1	< 0.1%
4285830	1	< 0.1%
4287879	1	< 0.1%
4273548	1	< 0.1%
4275597	1	< 0.1%
4269454	1	< 0.1%
Other values (128357)	128357	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4063247	1	< 0.1%
4073803	1	< 0.1%
4267700	1	< 0.1%
4267732	1	< 0.1%
4267823	1	< 0.1%
4267839	1	< 0.1%
4267851	1	< 0.1%
4267864	1	< 0.1%
4267865	1	< 0.1%
4267868	1	< 0.1%

Value	Count	Frequency (%)
4397407	1	< 0.1%
4397405	1	< 0.1%
4397404	1	< 0.1%
4397403	1	< 0.1%
4397401	1	< 0.1%
4397396	1	< 0.1%
4397395	1	< 0.1%
4397394	1	< 0.1%
4397390	1	< 0.1%
4397386	1	< 0.1%

VEHICLE TYPE CODE 1
Categorical

HIGH CARDINALITY

Distinct	414
Distinct (%)	0.3%
Missing	1259
Missing (%)	1.0%
Memory size	8.9 MiB

Sedan	60122
Station Wagon/Sport Utility Vehicle	46343
Taxi	4122
Pick-up Truck	2996
Box Truck	2353
Other values (409)	11172

Length

Max length	35
Median length	5
Mean length	16.43344243
Min length	1

Characters and Unicode

Total characters	2088822
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	261 ?
Unique (%)	0.2%

Sample

1st row	Sedan
2nd row	Taxi
3rd row	Station Wagon/Sport Utility Vehicle
4th row	Sedan
5th row	Station Wagon/Sport Utility Vehicle

Value	Count	Frequency (%)
Sedan	60122	46.8%
Station Wagon/Sport Utility Vehicle	46343	36.1%
Taxi	4122	3.2%
Pick-up Truck	2996	2.3%
Box Truck	2353	1.8%
Bus	1725	1.3%
Bike	1570	1.2%
Tractor Truck Diesel	1038	0.8%
Motorcycle	828	0.6%
Van	766	0.6%
Other values (404)	5245	4.1%
(Missing)	1259	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
sedan	60336	21.8%
vehicle	46358	16.8%
utility	46355	16.8%
station	46343	16.8%
wagon/sport	46343	16.8%
truck	6833	2.5%
taxi	4122	1.5%
pick-up	2997	1.1%
box	2369	0.9%
bus	1760	0.6%
Other values (317)	12413	4.5%

Most occurring characters

Value	Count	Frequency (%)
t	235245	11.3%
i	196355	9.4%
e	161903	7.8%
a	161353	7.7%
n	155216	7.4%
S	153436	7.3%
	149123	7.1%
o	146949	7.0%
l	96430	4.6%
d	61058	2.9%
Other values (55)	571754	27.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1563205	74.8%
Uppercase Letter	325896	15.6%
Space Separator	149123	7.1%
Other Punctuation	46477	2.2%
Dash Punctuation	3844	0.2%
Decimal Number	277	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	153436	47.1%
V	47198	14.5%
U	46705	14.3%
W	46518	14.3%
T	12518	3.8%
B	6525	2.0%
P	3410	1.0%
D	1553	0.5%
M	1479	0.5%
A	1234	0.4%
Other values (16)	5320	1.6%

Value	Count	Frequency (%)
t	235245	15.0%
i	196355	12.6%
e	161903	10.4%
a	161353	10.3%
n	155216	9.9%
o	146949	9.4%
l	96430	6.2%
d	61058	3.9%
c	60415	3.9%
r	59030	3.8%
Other values (14)	229251	14.7%

Value	Count	Frequency (%)
4	199	71.8%
3	32	11.6%
2	19	6.9%
1	8	2.9%
5	6	2.2%
0	5	1.8%
7	3	1.1%
8	3	1.1%
6	2	0.7%

Value	Count	Frequency (%)
/	46472	> 99.9%
#	2	< 0.1%
.	2	< 0.1%
,	1	< 0.1%

Value	Count	Frequency (%)
	149123	100.0%

Value	Count	Frequency (%)
-	3844	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1889101	90.4%
Common	199721	9.6%

Most frequent character per script

Value	Count	Frequency (%)
t	235245	12.5%
i	196355	10.4%
e	161903	8.6%
a	161353	8.5%
n	155216	8.2%
S	153436	8.1%
o	146949	7.8%
l	96430	5.1%
d	61058	3.2%
c	60415	3.2%
Other values (40)	460741	24.4%

Value	Count	Frequency (%)
	149123	74.7%
/	46472	23.3%
-	3844	1.9%
4	199	0.1%
3	32	< 0.1%
2	19	< 0.1%
1	8	< 0.1%
5	6	< 0.1%
0	5	< 0.1%
7	3	< 0.1%
Other values (5)	10	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2088822	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	235245	11.3%
i	196355	9.4%
e	161903	7.8%
a	161353	7.7%
n	155216	7.4%
S	153436	7.3%
	149123	7.1%
o	146949	7.0%
l	96430	4.6%
d	61058	2.9%
Other values (55)	571754	27.4%

VEHICLE TYPE CODE 2
Categorical

HIGH CARDINALITY
MISSING

Distinct	427
Distinct (%)	0.5%
Missing	39742
Missing (%)	31.0%
Memory size	7.4 MiB

Sedan	38551
Station Wagon/Sport Utility Vehicle	29555
Bike	4082
Box Truck	2575
Pick-up Truck	2413
Other values (422)	11449

Length

Max length	38
Median length	5
Mean length	15.6534725
Min length	2

Characters and Unicode

Total characters	1387289
Distinct characters	63
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	275 ?
Unique (%)	0.3%

Sample

1st row	Pick-up Truck
2nd row	Taxi
3rd row	Sedan
4th row	Station Wagon/Sport Utility Vehicle
5th row	Sedan

Value	Count	Frequency (%)
Sedan	38551	30.0%
Station Wagon/Sport Utility Vehicle	29555	23.0%
Bike	4082	3.2%
Box Truck	2575	2.0%
Pick-up Truck	2413	1.9%
Taxi	2275	1.8%
Bus	1466	1.1%
Tractor Truck Diesel	994	0.8%
E-Scooter	723	0.6%
Motorcycle	717	0.6%
Other values (417)	5274	4.1%
(Missing)	39742	31.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
sedan	38680	20.7%
vehicle	29569	15.8%
utility	29560	15.8%
wagon/sport	29555	15.8%
station	29555	15.8%
truck	6419	3.4%
bike	4088	2.2%
box	2592	1.4%
pick-up	2414	1.3%
taxi	2275	1.2%
Other values (323)	12042	6.4%

Most occurring characters

Value	Count	Frequency (%)
t	151455	10.9%
i	129566	9.3%
e	109191	7.9%
a	103687	7.5%
n	99471	7.2%
S	98626	7.1%
	98126	7.1%
o	97153	7.0%
l	62267	4.5%
c	42325	3.1%
Other values (53)	395422	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1034963	74.6%
Uppercase Letter	220429	15.9%
Space Separator	98126	7.1%
Other Punctuation	29676	2.1%
Dash Punctuation	3919	0.3%
Decimal Number	175	< 0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	98626	44.7%
V	30279	13.7%
U	29876	13.6%
W	29745	13.5%
T	10256	4.7%
B	9323	4.2%
P	2783	1.3%
E	1825	0.8%
D	1521	0.7%
M	1355	0.6%
Other values (16)	4840	2.2%

Value	Count	Frequency (%)
t	151455	14.6%
i	129566	12.5%
e	109191	10.6%
a	103687	10.0%
n	99471	9.6%
o	97153	9.4%
l	62267	6.0%
c	42325	4.1%
r	41728	4.0%
d	39386	3.8%
Other values (14)	158734	15.3%

Value	Count	Frequency (%)
4	124	70.9%
3	26	14.9%
2	10	5.7%
0	5	2.9%
1	5	2.9%
6	3	1.7%
8	1	0.6%
5	1	0.6%

Value	Count	Frequency (%)
/	29675	> 99.9%
.	1	< 0.1%

Value	Count	Frequency (%)
-	3919	100.0%

Value	Count	Frequency (%)
	98126	100.0%

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1255392	90.5%
Common	131897	9.5%

Most frequent character per script

Value	Count	Frequency (%)
t	151455	12.1%
i	129566	10.3%
e	109191	8.7%
a	103687	8.3%
n	99471	7.9%
S	98626	7.9%
o	97153	7.7%
l	62267	5.0%
c	42325	3.4%
r	41728	3.3%
Other values (40)	319923	25.5%

Value	Count	Frequency (%)
	98126	74.4%
/	29675	22.5%
-	3919	3.0%
4	124	0.1%
3	26	< 0.1%
2	10	< 0.1%
0	5	< 0.1%
1	5	< 0.1%
6	3	< 0.1%
8	1	< 0.1%
Other values (3)	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1387289	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	151455	10.9%
i	129566	9.3%
e	109191	7.9%
a	103687	7.5%
n	99471	7.2%
S	98626	7.1%
	98126	7.1%
o	97153	7.0%
l	62267	4.5%
c	42325	3.1%
Other values (53)	395422	28.5%

VEHICLE TYPE CODE 3
Categorical

HIGH CARDINALITY
MISSING

Distinct	77
Distinct (%)	0.7%
Missing	116772
Missing (%)	91.0%
Memory size	4.4 MiB

Sedan	5728
Station Wagon/Sport Utility Vehicle	4788
Pick-up Truck	264
Taxi	196
Box Truck	118
Other values (72)	501

Length

Max length	35
Median length	5
Mean length	17.74877102
Min length	2

Characters and Unicode

Total characters	205797
Distinct characters	53
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	0.3%

Sample

1st row	Pick-up Truck
2nd row	Sedan
3rd row	Station Wagon/Sport Utility Vehicle
4th row	Sedan
5th row	Pick-up Truck

Value	Count	Frequency (%)
Sedan	5728	4.5%
Station Wagon/Sport Utility Vehicle	4788	3.7%
Pick-up Truck	264	0.2%
Taxi	196	0.2%
Box Truck	118	0.1%
Bus	67	0.1%
Tractor Truck Diesel	60	< 0.1%
Van	54	< 0.1%
Bike	51	< 0.1%
Motorcycle	36	< 0.1%
Other values (67)	233	0.2%
(Missing)	116772	91.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
sedan	5741	21.6%
vehicle	4791	18.0%
station	4788	18.0%
utility	4788	18.0%
wagon/sport	4788	18.0%
truck	464	1.7%
pick-up	264	1.0%
taxi	196	0.7%
box	121	0.5%
bus	69	0.3%
Other values (79)	596	2.2%

Most occurring characters

Value	Count	Frequency (%)
t	24135	11.7%
i	19797	9.6%
e	15740	7.6%
a	15719	7.6%
n	15438	7.5%
S	15326	7.4%
	15011	7.3%
o	14744	7.2%
l	9766	4.7%
d	5782	2.8%
Other values (43)	54339	26.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	154137	74.9%
Uppercase Letter	31549	15.3%
Space Separator	15011	7.3%
Other Punctuation	4796	2.3%
Dash Punctuation	288	0.1%
Decimal Number	16	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	24135	15.7%
i	19797	12.8%
e	15740	10.2%
a	15719	10.2%
n	15438	10.0%
o	14744	9.6%
l	9766	6.3%
d	5782	3.8%
c	5692	3.7%
r	5560	3.6%
Other values (14)	21764	14.1%

Value	Count	Frequency (%)
S	15326	48.6%
V	4852	15.4%
U	4811	15.2%
W	4804	15.2%
T	750	2.4%
P	287	0.9%
B	270	0.9%
D	76	0.2%
C	66	0.2%
M	65	0.2%
Other values (13)	242	0.8%

Value	Count	Frequency (%)
4	13	81.2%
3	2	12.5%
2	1	6.2%

Value	Count	Frequency (%)
-	288	100.0%

Value	Count	Frequency (%)
	15011	100.0%

Value	Count	Frequency (%)
/	4796	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	185686	90.2%
Common	20111	9.8%

Most frequent character per script

Value	Count	Frequency (%)
t	24135	13.0%
i	19797	10.7%
e	15740	8.5%
a	15719	8.5%
n	15438	8.3%
S	15326	8.3%
o	14744	7.9%
l	9766	5.3%
d	5782	3.1%
c	5692	3.1%
Other values (37)	43547	23.5%

Value	Count	Frequency (%)
	15011	74.6%
/	4796	23.8%
-	288	1.4%
4	13	0.1%
3	2	< 0.1%
2	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	205797	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	24135	11.7%
i	19797	9.6%
e	15740	7.6%
a	15719	7.6%
n	15438	7.5%
S	15326	7.4%
	15011	7.3%
o	14744	7.2%
l	9766	4.7%
d	5782	2.8%
Other values (43)	54339	26.4%

VEHICLE TYPE CODE 4
Categorical

MISSING

Distinct	33
Distinct (%)	1.0%
Missing	125156
Missing (%)	97.5%
Memory size	4.0 MiB

Sedan	1660
Station Wagon/Sport Utility Vehicle	1319
Pick-up Truck	73
Taxi	47
Box Truck	16
Other values (28)	96

Length

Max length	35
Median length	5
Mean length	17.58704453
Min length	2

Characters and Unicode

Total characters	56472
Distinct characters	48
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.4%

Sample

1st row	Station Wagon/Sport Utility Vehicle
2nd row	Sedan
3rd row	Sedan
4th row	Pick-up Truck
5th row	Sedan

Value	Count	Frequency (%)
Sedan	1660	1.3%
Station Wagon/Sport Utility Vehicle	1319	1.0%
Pick-up Truck	73	0.1%
Taxi	47	< 0.1%
Box Truck	16	< 0.1%
Bus	15	< 0.1%
Motorcycle	9	< 0.1%
Van	9	< 0.1%
Convertible	9	< 0.1%
Bike	8	< 0.1%
Other values (23)	46	< 0.1%
(Missing)	125156	97.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
sedan	1662	22.8%
utility	1319	18.1%
vehicle	1319	18.1%
station	1319	18.1%
wagon/sport	1319	18.1%
truck	97	1.3%
pick-up	74	1.0%
taxi	47	0.6%
box	17	0.2%
bus	15	0.2%
Other values (32)	101	1.4%

Most occurring characters

Value	Count	Frequency (%)
t	6629	11.7%
i	5427	9.6%
a	4380	7.8%
e	4367	7.7%
n	4324	7.7%
S	4301	7.6%
	4078	7.2%
o	4022	7.1%
l	2670	4.7%
d	1667	3.0%
Other values (38)	14607	25.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42351	75.0%
Uppercase Letter	8644	15.3%
Space Separator	4078	7.2%
Other Punctuation	1319	2.3%
Dash Punctuation	78	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	4301	49.8%
V	1331	15.4%
U	1322	15.3%
W	1319	15.3%
T	156	1.8%
P	79	0.9%
B	43	0.5%
C	17	0.2%
D	16	0.2%
M	12	0.1%
Other values (12)	48	0.6%

Value	Count	Frequency (%)
t	6629	15.7%
i	5427	12.8%
a	4380	10.3%
e	4367	10.3%
n	4324	10.2%
o	4022	9.5%
l	2670	6.3%
d	1667	3.9%
c	1520	3.6%
r	1469	3.5%
Other values (12)	5876	13.9%

Value	Count	Frequency (%)
	4078	100.0%

Value	Count	Frequency (%)
/	1319	100.0%

Value	Count	Frequency (%)
-	78	100.0%

Value	Count	Frequency (%)
4	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50995	90.3%
Common	5477	9.7%

Most frequent character per script

Value	Count	Frequency (%)
t	6629	13.0%
i	5427	10.6%
a	4380	8.6%
e	4367	8.6%
n	4324	8.5%
S	4301	8.4%
o	4022	7.9%
l	2670	5.2%
d	1667	3.3%
c	1520	3.0%
Other values (34)	11688	22.9%

Value	Count	Frequency (%)
	4078	74.5%
/	1319	24.1%
-	78	1.4%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56472	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	6629	11.7%
i	5427	9.6%
a	4380	7.8%
e	4367	7.7%
n	4324	7.7%
S	4301	7.6%
	4078	7.2%
o	4022	7.1%
l	2670	4.7%
d	1667	3.0%
Other values (38)	14607	25.9%

VEHICLE TYPE CODE 5
Categorical

MISSING

Distinct	19
Distinct (%)	2.0%
Missing	127407
Missing (%)	99.3%
Memory size	4.0 MiB

Sedan	484
Station Wagon/Sport Utility Vehicle	399
Pick-up Truck	22
Taxi	14
Van	9
Other values (14)	32

Length

Max length	35
Median length	5
Mean length	17.734375
Min length	2

Characters and Unicode

Total characters	17025
Distinct characters	42
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.7%

Sample

1st row	Station Wagon/Sport Utility Vehicle
2nd row	Sedan
3rd row	Sedan
4th row	Station Wagon/Sport Utility Vehicle
5th row	Station Wagon/Sport Utility Vehicle

Value	Count	Frequency (%)
Sedan	484	0.4%
Station Wagon/Sport Utility Vehicle	399	0.3%
Pick-up Truck	22	< 0.1%
Taxi	14	< 0.1%
Van	9	< 0.1%
PK	5	< 0.1%
Box Truck	5	< 0.1%
Motorcycle	4	< 0.1%
Bus	3	< 0.1%
Tractor Truck Diesel	3	< 0.1%
Other values (9)	12	< 0.1%
(Missing)	127407	99.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
sedan	484	22.1%
station	399	18.2%
vehicle	399	18.2%
utility	399	18.2%
wagon/sport	399	18.2%
truck	32	1.5%
pick-up	22	1.0%
taxi	14	0.6%
van	10	0.5%
box	7	0.3%
Other values (12)	28	1.3%

Most occurring characters

Value	Count	Frequency (%)
t	2012	11.8%
i	1640	9.6%
a	1309	7.7%
e	1303	7.7%
n	1294	7.6%
S	1283	7.5%
	1233	7.2%
o	1227	7.2%
l	809	4.8%
d	484	2.8%
Other values (32)	4431	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12767	75.0%
Uppercase Letter	2603	15.3%
Space Separator	1233	7.2%
Other Punctuation	399	2.3%
Dash Punctuation	23	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	2012	15.8%
i	1640	12.8%
a	1309	10.3%
e	1303	10.2%
n	1294	10.1%
o	1227	9.6%
l	809	6.3%
d	484	3.8%
c	467	3.7%
r	451	3.5%
Other values (11)	1771	13.9%

Value	Count	Frequency (%)
S	1283	49.3%
V	409	15.7%
W	399	15.3%
U	399	15.3%
T	48	1.8%
P	27	1.0%
B	11	0.4%
M	6	0.2%
K	5	0.2%
D	5	0.2%
Other values (8)	11	0.4%

Value	Count	Frequency (%)
	1233	100.0%

Value	Count	Frequency (%)
/	399	100.0%

Value	Count	Frequency (%)
-	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15370	90.3%
Common	1655	9.7%

Most frequent character per script

Value	Count	Frequency (%)
t	2012	13.1%
i	1640	10.7%
a	1309	8.5%
e	1303	8.5%
n	1294	8.4%
S	1283	8.3%
o	1227	8.0%
l	809	5.3%
d	484	3.1%
c	467	3.0%
Other values (29)	3542	23.0%

Value	Count	Frequency (%)
	1233	74.5%
/	399	24.1%
-	23	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17025	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	2012	11.8%
i	1640	9.6%
a	1309	7.7%
e	1303	7.7%
n	1294	7.6%
S	1283	7.5%
	1233	7.2%
o	1227	7.2%
l	809	4.8%
d	484	2.8%
Other values (32)	4431	26.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	CRASH DATE	CRASH TIME	BOROUGH	ZIP CODE	LATITUDE	LONGITUDE	LOCATION	ON STREET NAME	CROSS STREET NAME	OFF STREET NAME	NUMBER OF PERSONS INJURED	NUMBER OF PEDESTRIANS INJURED	NUMBER OF MOTORIST INJURED	CONTRIBUTING FACTOR VEHICLE 1	CONTRIBUTING FACTOR VEHICLE 2	CONTRIBUTING FACTOR VEHICLE 3	CONTRIBUTING FACTOR VEHICLE 4	CONTRIBUTING FACTOR VEHICLE 5	COLLISION_ID	VEHICLE TYPE CODE 1	VEHICLE TYPE CODE 2	VEHICLE TYPE CODE 3	VEHICLE TYPE CODE 4	VEHICLE TYPE CODE 5
0	01/02/2020	0:00	NaN	NaN	NaN	NaN	NaN	CROSS ISLAND PARKWAY	NaN	NaN	0.0	0	0	Tire Failure/Inadequate	NaN	NaN	NaN	NaN	4267700	Sedan	NaN	NaN	NaN	NaN
1	01/02/2020	12:57	NaN	NaN	NaN	NaN	NaN	W 57 & 8th Ave	W 57	NaN	0.0	0	0	Unspecified	Unspecified	NaN	NaN	NaN	4268255	Taxi	Pick-up Truck	NaN	NaN	NaN
2	01/02/2020	15:00	NaN	NaN	40.668266	-73.842140	(40.668266, -73.84214)	CROSS BAY BOULEVARD	SOUTH CONDUIT AVENUE	NaN	0.0	0	0	Driver Inattention/Distraction	Unspecified	NaN	NaN	NaN	4268222	Station Wagon/Sport Utility Vehicle	Taxi	NaN	NaN	NaN
3	01/02/2020	15:10	BROOKLYN	11206.0	40.700527	-73.941610	(40.700527, -73.94161)	NaN	NaN	760 BROADWAY	1.0	1	0	Pedestrian/Bicyclist/Other Pedestrian Error/Confusion	NaN	NaN	NaN	NaN	4268246	Sedan	NaN	NaN	NaN	NaN
4	01/02/2020	17:30	NaN	NaN	NaN	NaN	NaN	NORTHERN BOULEVARD	68 STREET	NaN	1.0	0	1	Driver Inattention/Distraction	Driver Inattention/Distraction	NaN	NaN	NaN	4268708	Station Wagon/Sport Utility Vehicle	Sedan	NaN	NaN	NaN
5	01/02/2020	20:45	BRONX	10460.0	40.843033	-73.881805	(40.843033, -73.881805)	NaN	NaN	948 EAST 179 STREET	0.0	0	0	Passing Too Closely	Unspecified	NaN	NaN	NaN	4268164	Station Wagon/Sport Utility Vehicle	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN
6	01/02/2020	10:10	MANHATTAN	10022.0	40.759740	-73.974230	(40.75974, -73.97423)	EAST 53 STREET	MADISON AVENUE	NaN	0.0	0	0	Other Vehicular	Other Vehicular	NaN	NaN	NaN	4268253	Sedan	Sedan	NaN	NaN	NaN
7	01/02/2020	17:18	NaN	NaN	40.749550	-74.006540	(40.74955, -74.00654)	11 AVENUE	NaN	NaN	0.0	0	0	Passing or Lane Usage Improper	Unspecified	NaN	NaN	NaN	4268097	Sedan	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN
8	01/02/2020	18:50	NaN	NaN	40.811638	-73.931600	(40.811638, -73.9316)	MAJOR DEEGAN EXPRESSWAY	NaN	NaN	0.0	0	0	Unsafe Speed	Reaction to Uninvolved Vehicle	NaN	NaN	NaN	4268521	Sedan	Sedan	NaN	NaN	NaN
9	01/02/2020	13:00	BROOKLYN	11226.0	40.653328	-73.959404	(40.653328, -73.959404)	NaN	NaN	793 FLATBUSH AVENUE	0.0	0	0	Unspecified	NaN	NaN	NaN	NaN	4268069	Sedan	NaN	NaN	NaN	NaN

Last rows

	CRASH DATE	CRASH TIME	BOROUGH	ZIP CODE	LATITUDE	LONGITUDE	LOCATION	ON STREET NAME	CROSS STREET NAME	OFF STREET NAME	CONTRIBUTING FACTOR VEHICLE 1	CONTRIBUTING FACTOR VEHICLE 2	CONTRIBUTING FACTOR VEHICLE 3	CONTRIBUTING FACTOR VEHICLE 4	CONTRIBUTING FACTOR VEHICLE 5	COLLISION_ID	VEHICLE TYPE CODE 1	VEHICLE TYPE CODE 2	VEHICLE TYPE CODE 3	VEHICLE TYPE CODE 4	VEHICLE TYPE CODE 5
128357	03/06/2021	23:50	MANHATTAN	10013.0	40.721350	-74.004650	(40.72135, -74.00465)	CANAL STREET	WEST BROADWAY	NaN	Unspecified	Unspecified	NaN	NaN	NaN	4396733	Sedan	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN
128358	03/06/2021	9:15	BROOKLYN	11218.0	40.649940	-73.974010	(40.64994, -73.97401)	NaN	NaN	31 OCEAN PARKWAY	Other Vehicular	Unspecified	NaN	NaN	NaN	4396709	Sedan	NaN	NaN	NaN	NaN
128359	03/06/2021	15:21	MANHATTAN	10024.0	40.783974	-73.970310	(40.783974, -73.97031)	CENTRAL PARK WEST	WEST 84 STREET	NaN	Driver Inattention/Distraction	Driver Inattention/Distraction	NaN	NaN	NaN	4396899	Van	Sedan	NaN	NaN	NaN
128360	03/06/2021	14:40	NaN	NaN	NaN	NaN	NaN	BRUCKNER EXPRESSWAY RAMP	NaN	NaN	Unsafe Lane Changing	Unspecified	NaN	NaN	NaN	4397161	Taxi	Sedan	NaN	NaN	NaN
128361	03/06/2021	6:14	BRONX	10452.0	40.841960	-73.915306	(40.84196, -73.915306)	EAST 172 STREET	TOWNSEND AVENUE	NaN	Driver Inattention/Distraction	Unspecified	NaN	NaN	NaN	4396610	Sedan	NaN	NaN	NaN	NaN
128362	03/06/2021	17:00	MANHATTAN	10031.0	40.822834	-73.953710	(40.822834, -73.95371)	NaN	NaN	610 WEST 139 STREET	Unspecified	NaN	NaN	NaN	NaN	4396982	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN	NaN
128363	03/06/2021	19:30	BRONX	10466.0	40.887096	-73.860870	(40.887096, -73.86087)	WHITE PLAINS ROAD	EAST 224 STREET	NaN	Driver Inattention/Distraction	Driver Inattention/Distraction	NaN	NaN	NaN	4396676	Sedan	NaN	NaN	NaN	NaN
128364	03/06/2021	1:30	BRONX	10466.0	40.883410	-73.837800	(40.88341, -73.8378)	NaN	NaN	3601 PALMER AVENUE	Unspecified	NaN	NaN	NaN	NaN	4396673	Dump	NaN	NaN	NaN	NaN
128365	03/06/2021	16:30	QUEENS	11101.0	40.737537	-73.929955	(40.737537, -73.929955)	HUNTERS POINT AVENUE	GREENPOINT AVENUE	NaN	Driver Inattention/Distraction	Passing or Lane Usage Improper	NaN	NaN	NaN	4396622	Station Wagon/Sport Utility Vehicle	Sedan	NaN	NaN	NaN
128366	03/06/2021	18:15	BROOKLYN	11212.0	40.654137	-73.912340	(40.654137, -73.91234)	LINDEN BOULEVARD	ROCKAWAY PARKWAY	NaN	Unspecified	NaN	NaN	NaN	NaN	4397200	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters